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Emmanuel Mic. Drakakis

Emmanuel Mic. Drakakis

Reader
Imperial College London
UK

Biography

Emmanuel Mic. Drakakis received the B.Sc. degree (1st Class Honours) in Physics and the M.Phil. degree (1st Class Honours) in Electronic Physics and Radioelectrology from Aristotle University of Thessaloniki, Macedonia, Greece, and the Ph.D. degree in analogue IC design from the Department of Electrical and Electronic Engineering at Imperial College London, U.K. under the supervision of Dr. Alison Payne. During his PhD he was sponsored by the Micro-Electronics Research Center of LM Ericsson-Stockholm (one of eight in the world at the time). Currently he is Reader in Bio-Circuits and Systems in the Department of Bioengineering at Imperial College London. In the Department of Bioengineering he has founded the Bioinspired VLSI Circuits and Systems Group whose research focuses on “Circuits for and from Biology”. He has authored or co-authored a large number (>120) of peer-reviewed journal and conference papers and several book chapters. Dr. Drakakis has received many prizes for research excellence and is involved in several cross-disciplinary research projects. In the past he has served as Guest Ass.Editor for IET El.Letters and as Subject Editor for the International Journal of Electronics – Taylor & Francis. He has also served as an Associate Editor in IEEE publications, including TCAS1 and TCAS2. He is currently an Associate Editor for IEEE Transactions on Biomedical Circuits and Systems and an Associate Editor for Frontiers in Neuromorphic Engineering.

Research Interest

Microprobes for Medicine & Biology
Spatiotemporal Physicochemical Monitoring of (Stem) Cell Cultures
Bionic Ear and Cochlear Implant Processors
Memristors
Ultra Low power Cytomimetic Circuits
Vision Processors - Cellular Nonlinear/Neural Networks
Optolelectronic Chips for Retinal Stimulation
Log-domain Ultra Low Power VLSI processing for biomedical applications
Hyperbolic-sine Ultra Low Power Ultra High Dynamic Range VLSI Processing for Biomedical Applications
Ultra Low Power (Bio)Sensor Interfacing Techniques
Short-range RF links
Biomimetic Si-Neurons & Synapses
Pulse Oximetry